|PHSV 01 I 02 P 0147|
The preparation of polymer-amino acid composites combining the synthesized polyaniline and two amino acids namely L- glutamine (Q) and L-arginine (R) has been demonstrated. The prepared samples were characterized by DSC and atomic force microscopy. DSC thermograms showed the structural changes occurred during composite formation. DC electrical conductivity of the samples were measured in the temperature range 80 K - 310 K and found to be supported by a three- dimensional variable range hopping...
Keywords: differential scanning calorimetry; DC condu- ctivity; atomic force microscope
|MIT3.052S07 - MIT OpenCourseWare|
This course focuses on the latest scientific developments and discoveries in the field of nanomechanics, the study of forces and motion on extremely tiny (10-9 m) areas of synthetic and biological materials and structures. At this level, mechanical properties are intimately related to chemistry, physics, and quantum mechanics. Most lectures will consist of a theoretical component that will then be compared to recent experimental data (case studies) in the literature...
Keywords: biology; biological engineering; cells; AFM; atomic force microscope; nanoindentation; gecko; malaria; nanotube; collagen; polymer; seashell; biomimetics; molecule; atomic; bonding; adhesion; quantum mechanics; physics; chemistry; protein; DNA; bone; lipid
|MIT20.309F06 - MIT OpenCourseWare|
This course covers sensing and measurement for quantitative molecular/cell/tissue analysis, in terms of genetic, biochemical, and biophysical properties. Methods include light and fluorescence microscopies; electro-mechanical probes such as atomic force microscopy, laser and magnetic traps, and MEMS devices; and the application of statistics, probability and noise analysis to experimental data. Enrollment preference is given to juniors and seniors.
Keywords: DNA analysis; Fourier analysis; FFT; DNA melting; electronics; microscopy; microscope; probes; biology; atomic force microscope; AFM; scanning probe microscope; image processing; MATLAB; convolution; optoelectronics; rheology; fluorescence; noise; detector; optics; diffraction; optical trap; 3D; 3-D; three-dimensional imaging; visualization